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We are looking for a talented and driven developer to join our Research Engineering team and contribute to the development of scalable, cloud-native AI solutions on AWS. This role focuses on building and maintaining infrastructure and services that support advanced machine learning workflows, real-time inference, and robust observability.
You will research and build data-driven applications. Research and develop Machine Learning algorithms to turn forensic data into investigation leads, evidence, and intelligence insights. Be a part of a heterogeneous, multi-disciplinary research team. Take projects end to end, from the inception of the idea, through data and algorithm research and POC development. The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.
Responsibilities
Design and implement features for our AWS-based AI solution, including job orchestration, manifest generation, and API integrations.
Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure (e.g., SageMaker, Lambda, Bedrock).
Ensure code quality and reliability through comprehensive unit testing, performance testing, and observability enhancements.
Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments.
Troubleshoot deployment issues and contribute to the continuous improvement of dashboards and monitoring tools.

We are seeking a highly skilled AI Engineer to help define the future of intelligent forensic research platforms.In this role, you will lead the design and integration of advanced AI capabilities into a large-scale, production-grade environment, working closely with core engineering and research teams.
You will contribute to unifying internal tools and workflows into a cohesive, AI-driven ecosystem that significantly enhances developer and researcher productivity.You will also drive the evolution of automation and analysis pipelines, replacing brittle processes with robust, scalable, and intelligent solutions.
A key part of the role involves exploring complex datasets, evaluating models, and applying generative AI and heuristic approaches to uncover, structure, and interpret digital artifacts.This position offers the opportunity to work on challenging problems at the intersection of AI, systems engineering, and data analysis, with real influence over architecture, tooling, and research direction.
If you are motivated by building high-impact AI systems, solving non-trivial technical problems, and enabling teams to operate at a higher level, this role provides a unique opportunity to make a lasting impact in a mission-driven domain.
Key Responsibilities:
Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
Research, explore data, assess, and implement the best models to solve various forensic research problems.
Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
Translate forensic research methods into AI algorithms and innovation suggestions.
Location - Israel, Petah.

We are looking for a talented and ambitious Automation Engineer!
Our Israel Product Quality team. The team is responsible for the Quality Assurance of multiple SaaS products (CRM, Commerce, Data Automation) in a highly innovative, technical, and empowering work environment.
Our products are in use by millions of users worldwide, delivering smart and intuitive experiences that put the user at the center.
We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.

As an AI Engineer on our Search Engine team, youll help build the state-of-the-art, powered-by-AI search. Youll design and operate high-performance services that transform user intent into fast, accurate, and reliable results. Your work sits at the foundation of how customers discover companies and contacts, delivering a seamless, intelligent search experience at scale.

What You'll Actually Do:

Build lightning-fast APIs serving recommendations, contact, and company data to millions of users daily.
Design event-driven systems that sync data across products and data lakes in real-time.
Develop agentic flows and integrate AI solutions that optimize user experience.
Optimize data retrieval, caching, and indexing for sub-second response times at scale.
Create fault-tolerant services with robust monitoring and CI/CD that just work.
Collaborate with Data Scientists and ML engineers to power AI-driven features and pipelines that customers use.

As a Data Architect, youll sit at the intersection of data engineering, ML systems, and platform architecture. Youll own the patterns, guardrails, and data platform capabilities that let teams ship AI-native, low-latency experiences at scale-safely, reliably, and cost-effectively.

What Youll Actually Do:

Design AI-native data systems: LLM/RAG pipelines, embeddings & vector search, and real-time inference- production-grade and observable.
Evolve the data platform: Batch + streaming + lakehouse; CDC, orchestration, lineage/quality, and clear data contracts for ML readiness.
Set org standards: Contract-first APIs & event schemas, ADRs, SLOs (latency/MTTR/cost); lead design reviews and architecture spikes.
Modernize pragmatically: Guide adoption of Databricks, Kafka, Airflow, Kubernetes, Terraform, and modern observability- fit to purpose.
Lead by influence: Mentor Tech Leads, partner with Product/ML/Platform, and turn goals into resilient, measurable systems.

In this role, youll own the engineering backbone that enables our data engineers & data scientists to experiment, innovate, and deploy production-ready models, ensuring our systems are robust, scalable, and future-proof.

What You'll Actually Do:

Lead and mentor a team of Data Engineers, fostering a culture of technical excellence, accountability, and collaboration.
Define and drive the teams technical roadmap, standards, and best practices for data modeling, performance, and reliability.
Design, build, and evolve scalable embedding pipelines and recommendation infrastructure, from algorithm tuning and training workflows to production deployment.
Manage and optimize vector db, ensuring efficient indexing strategies, search performance, and low-latency retrieval.
Lead the development of retrieval services leveraging Approximate Nearest Neighbor (ANN/KNN) techniques such as HNSW, IVF, and Product Quantization (PQ).
Ensure reliability, observability, and scalability across all real-time data systems powering our recommendation engine.
Collaborate with Data Science, Product, and Analytics to operationalize models, validate KPIs, and translate technical insights into actionable product improvements.

What Youll Do:
As a Frontend Engineer on the Card Team, you will take ownership of the primary platforms our customers interact with daily: our web portal and native mobile app. You will be responsible for developing new features and enhancing the functionality related to our credit card services. This is a key role where you will directly shape the user experience for hundreds of thousands of cardholders, building the next generation of features for our rapidly growing product.
Key Responsibilities:
Develop, and maintain the customer-facing web and native applications for our companys credit card product.
Take ownership of the end-to-end development of new credit card-related features, from concept to deployment.
Implement new functionalities, such as customer benefits, rewards programs, and innovative payment solutions.
Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience.
Write clean, efficient, and maintainable code, adhering to best practices and team standards.
Contribute to a collaborative environment, sharing your expertise and mentoring other team members.

we are seeking a Lead Software Engineer to join our The Merchant-Ops squad responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is composed of skilled backend, frontend, and data engineers.
As the Merchant-Ops Lead Software Engineer, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Key Responsibilities:
Contribute to the development of our Merchant Ops products, empowering merchants and partners with seamless tools, insights, and a reward system.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.
Provide mentorship to junior team members, nurturing their growth and development.

What Youll Do:
The Merchant-Ops squad is responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is comprised of skilled backend, frontend, and data engineers.
As the Merchant-Ops Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Lead the technical architecture and system design for merchant-facing products
Guide a multidisciplinary squad of frontend, backend and data engineers through implementation, delivery, and iteration
Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions
Ensure development aligns with business objectives, long-term system health, and our company's engineering standards
Conduct and lead design reviews, code reviews, and performance optimization efforts
Drive a culture of technical excellence, ownership, and continuous improvement
Oversee system reliability, monitoring, and incident response within your domain.

We are seeking a full-time, on-site Validation engineer to lead automation and manual testing efforts across our product line. This role encompasses validation, functional verification, and Quality Assurance activities for medical devices integrated with Windows, Android, IOS, and web applications. The successful candidate will also provide technical guidance to our offshore validation team in India.